全黑啟動機組最佳位置之規劃

Optimal Location Planning of Black-Start Units

林迺呈(Nai-Chen Lin)

指導教授 ： 李清吟 ； 陳昭榮

國立臺北科技大學/機電學院/電機工程系所/碩士(2005年)

摘要

本文之目的在於使用氣渦輪發電機組作為全黑啟動機組之用，將此機組掛接於非火力發電機組之匯流排上，並經由電力輸電網路的傳輸，以供應慣常火力發電機組於系統全黑時輔機啟動之電源。此有別於台電公司現行之規劃，於每一座火力電廠區內均增加設置全黑啟動機組；如此配置可減少全黑啟動機組之設置數量，降低設備維護與人事成本。
為尋求出全黑啟動機組最佳設置位置，本文應用基因演算法隨機搜尋的優點，並規劃出全黑啟動時電力輸電網路之最佳加壓路徑。當全黑啟動機組位置選定後，利用電力潮流分析程式模擬，檢討並驗證所搜尋出之位置及加壓路徑，以避免路徑上輸電線電壓過高，作為全黑啟動時加壓路徑規劃之參考。
本文提出之方法將以IEEE 14-匯流排、IEEE 30-匯流排系統與台電輸電系統網路為測試對象。結果顯示，應用基因演算法所搜尋出之最佳全黑啟動機組設置地點及其加壓路徑確實是可行的。

關鍵字

全黑啟動機組 ； 基因演算法 ； 電力潮流 ； 最佳路徑

並列摘要

The purpose of this thesis is to study the utilization of gas turbine generator unit as black-start unit, and connect this unit to the bus of power transmission system network outside power plants, for supplying power to auxiliary equipment of conventional fossil-fueled power generating unit during black-start period. This proposed planning is different from Taipower’s existing system with individual black-start unit at each fossil-fueled power plant; such plan not only reduces quantity of black-start units but also saves the initial investment, operation and maintenance costs of black-start unit.
In order to search for optimal location of black-start unit, this thesis applies Genetic Algorithm with merit of random searching to plan the optimal energizing path on power system transmission network during black-start period. Once the optimal location of black-start unit is selected, then it will be simulated by power flow analyzing program to review and verify the derived location and energizing path to avoid over-voltage on transmission line, it will be used as the reference in planning of black-start energizing path.
The proposed approach of this thesis is applying systems of IEEE 14-bus, IEEE 30-bus and Taipower transmission system network as examined object, and the outcome indicates that searching for the optimal location of black-start units and the energizing path by applying Genetic Algorithm is feasible.

並列關鍵字

Black-Start Units ； Genetic Algorithm ； Power Flow ； Optimal Path

參考文獻

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